Figure 3. Overview of promising computational opportunities in drug discovery.

Text-mining enables the extraction of information from publications and clinical records. Mathematical modeling helps to assess experimental data in context of previously collected facts, while computational data integration distills multiple raw data types into a collection of computable biological statements. The resulting network of semantic relations can serve as a scaffold for modeling biological processes, design and optimization of therapeutic drug cocktails, and linking complex phenotypes to genotypes. The figure incorporates ontological concepts outlined in figure 2: cellular process (such as tissue necrosis), symptoms (in this case, sneezing, allergic rash), genetic variation (depicted as a single nucleotide polymorphism), and drugs (amantadine, valium, and aspirin, listed here top to down.